The proliferation of powerful mobile devices with built-in navigational capabilities and the adoption in most metropolitan areas of fast wireless communication protocols have recently created unprecedented opportunities for location-based advertising. In this work, we provide models and investigate the market for location-based sponsored search, where advertisers pay the search engine to be dis...

In this work we use techniques from the study of samplecomplexity in machine learning to reduce revenue maximizing auction problems to standard algorithmic questions. These results are particularly relevant to designing good pricing mechanisms for sponsored search. In particular we apply our results to two problems: profit maximizing combinatorial auctions, and auctions for pricing semantically...